Proceedings
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| Filter results2 paper(s) found. |
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1. Active Optical Sensor Algorithms For Corn Yield Prediction And In-Season N Application In North DakotaA recent series of seventy seven field N rate experiments with corn (Zea mays, L.) in North Dakota was conducted. Multiple regression analysis of the characteristics of the data set indicated that segregating the data into those with high clay soils and those with medium textures increased the relationship between N rate and corn yield. However, the nearly linear positive slope relationship in high clay soils and coarser texture soils with lower yield productivity indicated... L. Sharma, H. Bu, R. Ashley, G. Endres, J. Teboh, D.W. Franzen |
2. Tracking Two Decades of Precision Agriculture Through the Croplife Purdue SurveyThe CropLife/Purdue University precision dealer survey is the longest-running continuous survey of precision farming adoption. The 2017 survey is the 18th, conducted every year from 1997 to 2009, and then every other year following. For individuals working in agriculture there is great value in knowing who is doing what and why, to get a better understanding of the utilities and applications, and to guide investments. A major revision in survey questions was made... B. Erickson, J. Lowenberg-deboer, J. Bradford |